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ACEPOL SIGNED

Agent-based Computational Economics for Policy Analysis

Total Cost €

0

EC-Contrib. €

0

Partnership

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 ACEPOL project word cloud

Explore the words cloud of the ACEPOL project. It provides you a very rough idea of what is the project "ACEPOL" about.

learning    validated    financial    central    fellowship    rigosously    private    descriptive    external    counterfactual    debt    agent    plan    additionally    innovative    closely    theory    employed    crises    possibly    avoiding    dynamic    dsge    ready    systemic    evaluation    overhangs    tackling    dynamics    started    negative    techniques    statistical    model    world    strategies    prepare    methodological    triggered    properly    econometric    public    crisis    tool    profession    interconnectedness    interventions    complementary    equilibrium    hence    datasets    innovativeness    ace    analyze    policy    mitigating    intervention    reconsideration    risk    post    stochastic    sectors    ask    standard    generating    standards    banks    directions    prominent    calibrated    exercises    modeling    economics    once    formal    employing    occupy    economic    validation    emerged    computational    models    calibration    spread    algorithmic    ex    alternative    ante    massive    micro   

Project "ACEPOL" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITE COTE D'AZUR 

There are not information about this coordinator. Please contact Fabio for more information, thanks.

 Coordinator Country France [FR]
 Total cost 173˙076 €
 EC max contribution 173˙076 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2019
 Duration (year-month-day) from 2019-03-01   to  2021-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITE COTE D'AZUR FR (NICE) coordinator 173˙076.00
2    COMMUNAUTE D'UNIVERSITES ET ETABLISSEMENTS UNIVERSITE COTE D'AZUR FR (NICE) coordinator 0.00

Map

 Project objective

The recent economic crisis has also been a crisis for economic theory. Hence, the economic profession started to debate and prepare a methodological reconsideration about the general role of economic models; new modeling strategies, alternative and complementary to the standard Dynamic Stochastic General Equilibrium (DSGE) models, have therefore emerged. Among these innovative approaches, Agent-based Computational Economics (ACE) started to occupy a prominent role. However, ACE models still need to be improved in three main directions before being ready to be employed as a standard policy tool adopted by central banks. These three directions are: (i) calibration, (ii) external validation, (iii) formal evaluation of systemic risk.

This fellowship aims at directly tackling these three issues by employing new statistical learning, econometric, and algorithmic techniques and by applying them to an ACE model that enables one to analyze private and public debt dynamics by closely following the financial and real sectors at the micro-level.

The research plan here proposed aims at developing a calibrated and validated model able to explain how the rise in private debt and the interconnectedness of financial institutions might lead to financial crisis, which then might spread to the real sector and ask for a massive public sector intervention, possibly generating also public debt overhangs. Additionally, the innovativeness in the methods here employed will allow to establish higher standards for the development of descriptive ACE models. Once these model are properly and rigosously calibrated and validated by means of real-world datasets indeed, they can be adopted to evaluate a set of counterfactual policy exercises. In particular we aim at understanding which ex-ante policy measures might help avoiding debt-triggered crises and which ex-post policy interventions might help in mitigating their negative effects.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "ACEPOL" project.

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Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

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The information about "ACEPOL" are provided by the European Opendata Portal: CORDIS opendata.

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